scholarly journals Distributed Particle Flow Filter for Target Tracking in Wireless Sensor Networks

2018 ◽  
Vol 2018 ◽  
pp. 1-10
Author(s):  
Junjie Wang ◽  
Lingling Zhao ◽  
Xiaohong Su
Keyword(s):  
Sensor Networks ◽  
Target Tracking ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Particle Flow ◽  
Consensus Protocol ◽  
Distributed Target ◽  
Two Phases ◽  
Limited Sensing ◽  
Distributed Tracking

We propose, in this paper, a fully distributed tracking algorithm based on particle flow filter over sensor networks based on the max-consensus. The presented distributed particle flow filter is particularly suitable for the sensor network with limited sensing range and consists of two phases: the estimation phase and consensus phase. The local estimation results are obtained via particle flow filter in the estimation phase; then the sensor nodes agree on the best estimation based on max-consensus protocol in the consensus phase. Numerical simulations and comparisons with other distributed target tracking algorithms are carried out to show the effectiveness and feasibility of our approach.

scholarly journals A Comparative Study of Target Tracking Approaches in Wireless Sensor Networks

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Asmaa Ez-Zaidi ◽  
Said Rakrak
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Target Tracking ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Future Directions ◽  
Wide Range ◽  
Comprehensive Survey ◽  
The Subject ◽  
Intense Research

Wireless sensor networks have been the subject of intense research in recent years. Sensor nodes are used in wide range of applications such as security, military, and environmental monitoring. One of the most interesting applications in wireless sensor networks is target tracking, which mainly consists in detecting and monitoring the motion of mobile targets. In this paper, we present a comprehensive survey of target tracking approaches. We then analyze them according to several metrics. We also discuss some of the challenges that influence the performance of tracking schemes. In the end, we conduct detailed analysis and comparison between these algorithms and we conclude with some future directions.

Piggery Environmental Control System Based on Wireless Sensor Networks with Energy Optimization

2014 ◽  
Vol 687-691 ◽  
pp. 865-868
Author(s):  
Wei Xing Zhu ◽  
Xiu Yi Mei ◽  
Yao Lu ◽  
Jian Fei Zhang
Keyword(s):  
Wireless Sensor Networks ◽  
Control System ◽  
Sensor Networks ◽  
Environmental Control ◽  
Energy Optimization ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Control Center ◽  
Environment Control ◽  
Two Phases

According to the characteristics of piggery, such as complex environment, numerous control objects, complex wiring, a piggery environment control system based on wireless sensor networks was designed. This system consisted of the wireless network composed of various devices and sensors in piggery, the control center with ARM-LINUX and the remote control center. The energy of sensor nodes was offered by batteries in wireless sensor networks so that the power source was limited. In order to strengthen the node energy management, the LEACH algorithm was combined with AODV routing protocol, and a new optimization algorithm called LEACH-A was proposed in this paper. The wireless sensor networks execution process was divided into two phases, including cluster building and data transmission. In the two phases, the node residual energy was calculated by a weighted function and the cluster head role was changed by the size of remaining energy. NS-2 simulation results show that the proposed algorithm prolonged the lifetime of the nodes and the networks, and realized the energy optimization management.

Sign in / Sign up

Export Citation Format

Share Document